Papers
4
Total Citations
16
H-Index
2
About
Li Duan is a robotics researcher whose work focuses on the intersection of computer vision, deformable object manipulation, and rehabilitation engineering. Her primary research areas include robotic perception of soft materials, physics property prediction for garments and fabrics, and the development of assistive robotic mechanisms. Duan's major contributions center on enabling robots to perceive and understand the physical characteristics of deformable objects—particularly garments—through continuous visual observation. She pioneered a continuous perception approach that allows robots to predict the shapes and visually perceived weights of garments by learning geometric and physical similarities from video sequences. Her work on physics similarity neural networks further advances the field by enabling robots to learn and predict the physics property parameters of fabrics without direct measurement. Duan's research has garnered attention, with her most cited paper receiving 8 citations. Notably, she has also contributed to medical robotics through the development of a novel parallel mechanism for ankle rehabilitation, demonstrating the breadth of her expertise. Her innovative approaches to continuous perception are paving the way for more capable robotic systems in domestic and industrial applications.
Research Focus
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